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AI Engineer with 2+ years in Machine Learning & Data Visualization
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Data Science and AI/ML Developer with hands-on internship and freelance experience in building intelligent systems using machine learning, deep learning, and large language models (LLMs). Skilled in developing end-to-end AI solutions, including research, financial prediction systems, recommendation engines, and NLP applications. Proficient in Python, API integration, web scraping, and data visualization using Power BI and Streamlit. Passionate about building scalable, data-driven AI solutions for real-world impact.
RV University
Bachelor of Science Honours · Data Science, Minor in Robotics
August 1, 2022 – May 1, 2026
VR Institute of Chemical, Biological and Information Technology Science
AI ML and Data Science Intern
October 1, 2025 – April 1, 2026
Bengaluru, Karnataka, India
Tata Group via Forage
Data Visualization Intern
December 1, 2024 – Present
India
RV University Innovation Centre
Cybersecurity Intern
June 1, 2024 – July 1, 2024
Bengaluru, Karnataka, India
Broadrange AI
Frontend Developer
July 1, 2023 – September 1, 2023
Bengaluru, Karnataka, India
Automated Web-Based Tool for Data Cleaning and EDA
June 30, 2026 – Present
Built an intelligent AutoEDA system that automates data preprocessing, anomaly detection, statistical profiling, and visualization to accelerate data understanding and decision-making. Engineered a data quality scoring framework that evaluates dataset completeness, consistency, and duplication issues, providing actionable recommendations for improving data reliability. Developed an explainable analytics dashboard with automated report generation and interactive visualizations, enabling rapid exploratory analysis without requiring advanced programming expertise.
View ProjectAI-Powered Financial Analysis and Prediction System
June 30, 2026 – Present
Engineered stock price prediction system using LSTM neural networks achieving RMSE of 2.3 on test data. Deployed BART transformer models for financial news summarization processing 500+ articles daily. Integrated real-time data extraction using yfinance and NewsAPI with automated data pipeline. Established interactive Streamlit dashboard visualizing technical indicators including RSI, MACD, and SMA. Evaluated model performance using MAPE metric achieving 7.2% error rate with 95% confidence intervals.
View ProjectHybrid Deep Learning for Rice Disease Classification
June 30, 2026 – Present
Architected hybrid framework combining CNN and autoencoder features achieving 95.4% classification accuracy. Applied data augmentation on 5,000 image dataset, improving model generalization by 12%. Trained Random Forest classifier on extracted features with precision of 94.2% and recall of 96.1%. Validated results using confusion matrix analysis and F1-score of 95.1% across 4 disease categories.
View ProjectAutonomous Surveillance Robot with ESP32-CAM
June 30, 2026 – Present
Programmed ESP32-CAM microcontroller enabling real-time video streaming at 15 FPS over WiFi network. Developed ultrasonic obstacle detection system with 98% accuracy within 3-meter range. Initiated web server interface for remote navigation supporting 5 concurrent users. Designed modular software architecture with extensible framework for computer vision integration.
View ProjectAI Travel Itinerary Generator
June 30, 2026 – Present
Architected travel recommendation engine using NLP and sentiment analysis processing 200+ destination reviews. Assembled chatbot interface with 85% user satisfaction rate for interactive trip planning. Generated personalized multi-day itineraries for 100+ users matching budget and preference constraints.
View ProjectFull-Stack CRM Application
June 30, 2026 – Present
Released CRM platform with automated email generation system processing 500+ templates monthly. Deployed web scraping pipeline aggregating 100+ news sources daily using BeautifulSoup and Scrapy. Leveraged GPT-3.5 API for content summarization reducing manual effort by 80%.
Business Intelligence Analytics Platform
June 30, 2026 – Present
Created 6 interactive Power BI dashboards processing datasets exceeding 1 million rows from multiple sources. Utilized Apache Spark for distributed computing, reducing data processing time by 75%. Delivered actionable insights through scalable ETL pipelines handling CSV, Excel, Parquet, and SQL databases.
CEH v11 certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from AI/ML applications to cybersecurity and frontend development, indicates a broad interest and adaptability. The experience in both professional and personal projects, including an internship with a large group like Tata, suggests a proactive and self-driven individual. The minor in Robotics and various AI-focused projects align well with an AI Engineer role, demonstrating a clear passion for the field. The candidate's involvement in leadership roles (NCC Cadet, Deep Learning Project Lead) also suggests a team-oriented and responsible approach, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through project lead roles and NCC cadet experience. Collaboration skills are evident from working in cross-functional teams and contributing to full-stack development. The ability to present data-driven recommendations suggests good communication and analytical skills. The cybersecurity internship and CEH certification indicate a proactive approach to learning and a focus on robust system design, which is beneficial for operational fit in an AI engineering role.